15. ICANN 2005: Warsaw, Poland

Modeling the Brain and Cognitive Functions

• Sang-Woo Ban, Minho Lee:
  Novelty Analysis in Dynamic Scene for Autonomous Mental Development. 1-6
  
• Wen-Chuang Chou, Tsung-Ying Sun:
  The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population. 7-12
  
• Georg Fette, Julian Eggert:
  Short Term Memory and Pattern Matching with Simple Echo State Networks. 13-18
  
• Wentao Huang, Licheng Jiao, Shiping Ma, Yuelei Xu:
  Analytical Solution for Dynamic of Neuronal Populations. 19-24
  
• Jörg Lücke:
  Dynamics of Cortical Columns - Sensitive Decision Making. 25-30
  
• Jörg Lücke, Jan D. Bouecke:
  Dynamics of Cortical Columns - Self-organization of Receptive Fields. 31-37
  
• Marcelo A. Montemurro, Stefano Panzeri:
  Optimal Information Transmission Through Cortico-Cortical Synapses. 39-44
  
• Alain Rakotomamonjy, Vincent Guigue, G. Mallet, V. Alvarado:
  Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. 45-50
  
• Thomas Strösslin, Ricardo Chavarriaga, Denis Sheynikhovich, Wulfram Gerstner:
  Modelling Path Integrator Recalibration Using Hippocampal Place Cells. 51-56
  
• Neill R. Taylor, Matthew Hartley, John G. Taylor:
  Coding of Objects in Low-Level Visual Cortical Areas. 57-63
  
• Jochen Triesch:
  A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability. 65-70
  
• Tadashi Yamazaki, Shigeru Tanaka:
  Building the Cerebellum in a Computer. 71-77
  

Special Session: The Development of Cognitive Powers in Embodied Systems

• Stathis Kasderidis, John G. Taylor:
  Combining Attention and Value Maps. 79-84
  
• Janusz A. Starzyk, Yue Li, David D. Vogel:
  Neural Network with Memory and Cognitive Functions. 85-90
  
• Janusz A. Starzyk, Zhen Zhu, Yue Li:
  Associative Learning in Hierarchical Self Organizing Learning Arrays. 91-96
  
• John G. Taylor:
  A Review of Cognitive Processing in the Brain. 97-102
  

Spiking Neural Networks

• Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano:
  Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map. 103-108
  
• Yoshiyuki Asai, Tatyana I. Aksenova, Alessandro E. P. Villa:
  On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning. 109-114
  
• Joy Bose, Stephen B. Furber, Jonathan L. Shapiro:
  A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences. 115-120
  
• Thomas Hermle, Martin Bogdan, Cornelius Schwarz, Wolfgang Rosenstiel:
  ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods. 121-126
  
• Javier Iglesias, Jan Eriksson, Beatriz Pardo, Marco Tomassini, Alessandro E. P. Villa:
  Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity. 127-132
  
• Kazushi Ikeda:
  An Information Geometrical Analysis of Neural Spike Sequences. 133-138
  
• Teijiro Isokawa, Haruhiko Nishimura, Naotake Kamiura, Nobuyuki Matsui:
  Perceptual Binding by Coupled Oscillatory Neural Network. 139-144
  
• Andrzej J. Kasinski, Filip Ponulak:
  Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks. 145-152
  
• Raul Cristian Muresan, Gordon Pipa, Diek W. Wheeler:
  Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits. 153-159
  
• Matthias Oster, Adrian M. Whatley, Shih-Chii Liu, Rodney J. Douglas:
  A Hardware/Software Framework for Real-Time Spiking Systems. 161-166
  
• Laurent Perrinet:
  Efficient Source Detection Using Integrate-and-Fire Neurons. 167-172
  

Associative Memory Models

• Rogério M. Gomes, Antônio de Pádua Braga, Henrique E. Borges:
  A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks. 173-178
  
• Zheng He, Koichi Harada:
  Balance Algorithm for Point-Feature Label Placement Problem. 179-184
  
• Yasuaki Kuroe, Yuriko Taniguchi:
  Models of Self-correlation Type Complex-Valued Associative Memories and Their Dynamics. 185-192
  
• Kit Longden:
  Recovery of Performance in a Partially Connected Associative Memory Network Through Coding. 193-198
  
• Jirí Síma:
  Optimal Triangle Stripifications as Minimum Energy States in Hopfield Nets. 199-204
  

Models of Biological Functions

• Vassilis Cutsuridis, Ioannis Kahramanoglou, Stavros J. Perantonis, Ioannis Evdokimidis, Nikolaos Smyrnis:
  A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity. 205-210
  
• Yishai M. Elyada, David Horn:
  Can Dynamic Neural Filters Produce Pseudo-Random Sequences?. 211-216
  
• Hervé Frezza-Buet, Olivier Ménard:
  Making Competition in Neural Fields Suitable for Computational Architectures. 217-222
  
• Petro M. Gopych:
  Neural Network Computations with Negative Triggering Thresholds. 223-228
  
• Marc de Kamps:
  A Model for Delay Activity Without Recurrent Excitation. 229-234
  
• Erich L. Schulzke, Christian W. Eurich:
  Neuronal Coding Strategies for Two-Alternative Forced Choice Tasks. 235-240
  
• Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Martin A. Giese:
  Learning Features of Intermediate Complexity for the Recognition of Biological Motion. 241-246
  
• Carmen Paz Suárez Araujo, Pablo Fernández López, Patricio García Báez, José Regidor García:
  Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb's Law. 247-253
  

Special Session: Projects in the Area of NeuroIT

• Norman U. Baier, Oscar De Feo:
  Deterministic Modelling of Randomness with Recurrent Artificial Neural Networks. 255-260
  
• Wolfram Erlhagen, Albert Mukovskiy, Estela Bicho, Giorgio Panin, Csaba Kiss, Alois Knoll, Hein T. van Schie, Harold Bekkering:
  Action Understanding and Imitation Learning in a Robot-Human Task. 261-268
  
• Simon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity:
  Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs. 269-274
  
• Esben Hallundbæk Østergaard, David J. Christensen, Peter Eggenberger, Tim Taylor, Peter Ottery, Henrik Hautop Lund:
  HYDRA: From Cellular Biology to Shape-Changing Artefacts. 275-281
  
• Herbert Peremans, Jonas Reijniers:
  The CIRCE Head: A Biomimetic Sonar System. 283-288
  
• Manuel Rivas, Francisco Gomez-Rodriguez, R. Paz, Alejandro Linares-Barranco, Saturnino Vicente Diaz, D. Cascado:
  Tools for Address-Event-Representation Communication Systems and Debugging. 289-296
  
• Ben Torben-Nielsen, Barbara Webb, Richard E. Reeve:
  New Ears for a Robot Cricket. 297-304
  
• Cornelius Weber, David Muse, Mark Elshaw, Stefan Wermter:
  Reinforcement Learning in MirrorBot. 305-310
  

Evolutionary and Other Biological Inspirations

• Carlos M. Fernandes, Vitorino Ramos, Agostinho C. Rosa:
  Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes. 311-316
  
• Wuhong He, Haifeng Du, Licheng Jiao, Jing Li:
  Lamarckian Clonal Selection Algorithm with Application. 317-322
  
• Tatsuya Hirane, Tetsuya Toryu, Hidehiro Nakano, Arata Miyauchi:
  Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks. 323-329
  
• Fang Liu, Lan Luo:
  Immune Clonal Selection Wavelet Network Based Intrusion Detection. 331-336
  
• Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov:
  Investigation of Evolving Populations of Adaptive Agents. 337-342
  
• Giuseppe A. Trunfio:
  Enhancing Cellular Automata by an Embedded Generalized Multi-layer Perceptron. 343-348
  
• Carsten Wilks, Rolf Eckmiller:
  Intelligent Pattern Generation for a Tactile Communication System. 349-356
  

Self-organizing Maps and Their Applications

• Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
  Self-organizing Map Initialization. 357-362
  
• Vicente O. Baez-Monroy, Simon O'Keefe:
  Principles of Employing a Self-organizing Map as a Frequent Itemset Miner. 363-370
  
• Zouhour Neji Ben Salem, Fériel Mouria-beji, Farouk Kamoun:
  Spatio-Temporal Organization Map: A Speech Recognition Application. 371-378
  
• Pascual Campoy, Carlos J. Vicente:
  Residual Activity in the Neurons Allows SOMs to Learn Temporal Order. 379-384
  
• Francisco Flórez-Revuelta:
  Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical Morphology. 385-390
  
• Tetsuo Furukawa:
  SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps. 391-396
  
• Colin Fyfe:
  The Topographic Product of Experts. 397-402
  
• Emin Germen, Dogan Gökhan Ece, Ömer Nezih Gerek:
  Self Organizing Map (SOM) Approach for Classification of Power Quality Events. 403-408
  
• Mikko Heikkinen, Ari Kettunen, Eero Niemitalo, Reijo Kuivalainen, Yrjö Hiltunen:
  SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant. 409-414
  
• Adrian Horzyk:
  A New Extension of Self-optimizing Neural Networks for Topology Optimization. 415-420
  
• Guanglan Liao, Tielin Shi, Shiyuan Liu, Jianping Xuan:
  A Novel Technique for Data Visualization Based on SOM. 421-426
  
• Antonio Neme, Pedro Miramontes:
  Statistical Properties of Lattices Affect Topographic Error in Self-organizing Maps. 427-432
  
• Patrick Rousset, Bertrand Maillet:
  Increasing Reliability of SOMs' Neighbourhood Structure with a Bootstrap Process. 433-438
  

Computer Vision

• Boguslaw Cyganek:
  Artificial Neural Receptive Field for Stereovision. 439-445
  
• Hazem M. El-Bakry:
  Pattern Detection Using Fast Normalized Neural Networks. 447-454
  
• Kunihiko Fukushima, Kazuya Tohyama:
  Neural Network Model for Extracting Optic Flow. 455-460
  
• Gao Daqi, Shangming Zhu, Wenbing Gu:
  A Modular Single-Hidden-Layer Perceptron for Letter Recognition. 461-467
  
• Martijn van de Giessen, Jürgen Schmidhuber:
  Fast Color-Based Object Recognition Independent of Position and Orientation. 469-474
  
• Stephan Hasler, Heiko Wersing, Edgar Körner:
  Class-Specific Sparse Coding for Learning of Object Representations. 475-480
  
• Wonil Kim, Han-Ku Lee, Seong-Joon Yoo, Sung Wook Baik:
  Neural Network Based Adult Image Classification. 481-486
  
• Stephan Kirstein, Heiko Wersing, Edgar Körner:
  Online Learning for Object Recognition with a Hierarchical Visual Cortex Model. 487-492
  
• André Maurer, Micha Hersch, Aude Billard:
  Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition. 493-498
  
• Carlos Miravet, Francisco de Borja Rodríguez:
  Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations. 499-505
  
• Alessio Plebe, Rosaria Grazia Domenella:
  The Emergence of Visual Object Recognition. 507-512
  
• Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski:
  Implicit Relevance Feedback from Eye Movements. 513-518
  
• Cornelius Weber, Stefan Wermter:
  Image Segmentation by Complex-Valued Units. 519-524
  
• Anna Wilbik:
  Cellular Neural Networks for Color Image Segmentation. 525-530
  
• Yiyan Xue, Simon X. Yang:
  Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network. 531-536
  
• Pavel S. Zvonarev, Ilia V. Apalkov, Vladimir V. Khryashchev, Andrey L. Priorov:
  Adaptive Switching Median Filter with Neural Network Impulse Detection Step. 537-542
  

Face Recognition and Detection

• Hazem M. El-Bakry:
  Human Face Detection Using New High Speed Modular Neural Networks. 543-550
  
• Bogdan Kwolek:
  Face Detection Using Convolutional Neural Networks and Gabor Filters. 551-556
  
• Minoru Nakayama, Takashi Kumakura:
  Face Identification Performance Using Facial Expressions as Perturbation. 557-562
  
• Vo Dinh Minh Nhat, Sungyoung Lee:
  Discriminative Common Images for Face Recognition. 563-568
  
• Torsten Wilhelm, Hans-Joachim Böhme, Horst-Michael Gross:
  Classification of Face Images for Gender, Age, Facial Expression, and Identity. 569-574
  

Sound and Speech Recognition

• Nicole Beringer, Alex Graves, Florian Schiel, Jürgen Schmidhuber:
  Classifying Unprompted Speech by Retraining LSTM Nets. 575-581
  
• Werner Hemmert, Marcus Holmberg, Ulrich Ramacher:
  Temporal Sound Processing by Cochlear Nucleus Octopus Neurons. 583-588
  
• Jalil Shirazi, M. B. Menhaj:
  A SOM Based 2500 - Isolated - Farsi - Word Speech Recognizer. 589-595
  
• László Tóth, András Kocsor:
  Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling. 597-603
  
• Vanessa Yaremchuk, Michael R. W. Dawson:
  Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds. 605-610
  

Bioinformatics

• Ahsan Abdullah, Amir Hussain:
  Biclustering Gene Expression Data in the Presence of Noise. 611-616
  
• Te Ming Huang, Vojislav Kecman:
  Gene Extraction for Cancer Diagnosis by Support Vector Machines. 617-624
  
• Marc Strickert, Stefan Teichmann, Nese Sreenivasulu, Udo Seiffert:
  High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data. 625-633
  

Biomedical Applications

• Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
  Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. 635-640
  
• Lukasz Itert, Wlodzislaw Duch, John Pestian:
  Medical Document Categorization Using a Priori Knowledge. 641-646
  
• Vassilis S. Kodogiannis, H. S. Chowdrey:
  A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic Images. 647-652
  
• Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto:
  Neural Network Use for the Identification of Factors Related to Common Mental Disorders. 653-658
  
• O. Yu. Rebrova, O. A. Ishanov:
  Development and Realization of the Artificial Neural Network for Diagnostics of Stroke Type. 659-663
  

Special Session: Information-Theoretic Concepts in Biomedical Data Analysis

• César Estébanez, José María Valls, Ricardo Aler, Inés María Galván:
  A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. 665-670
  
• Birgit Lessmann, Andreas Degenhard, Preminda Kessar, Linda Pointon, Michael Khazen, Martin O. Leach, Tim W. Nattkemper:
  SOM-Based Wavelet Filtering for the Exploration of Medical Images. 671-676
  
• Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang:
  Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm. 677-682
  
• François B. Vialatte, Andrzej Cichocki, Gérard Dreyfus, Toshimitsu Musha, Sergei L. Shishkin, Rémi Gervais:
  Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals. 683-692
  

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